{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "import pandas as pd\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "from sklearn.cluster import KMeans,DBSCAN\n",
    "from scipy.spatial.distance import cdist\n",
    "from pandas import DataFrame\n",
    "from sklearn import metrics\n",
    "from sklearn.decomposition import PCA\n",
    "from mpl_toolkits.mplot3d import Axes3D"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 读取数据"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>面积</th>\n",
       "      <th>周长</th>\n",
       "      <th>暴雨</th>\n",
       "      <th>比降</th>\n",
       "      <th>断层</th>\n",
       "      <th>岩性</th>\n",
       "      <th>最大高程</th>\n",
       "      <th>最小高程</th>\n",
       "      <th>相对高差</th>\n",
       "      <th>主沟长度</th>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>ID</th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
       "      <th></th>\n",
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       "      <th></th>\n",
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       "    <tr>\n",
       "      <th>T001</th>\n",
       "      <td>65924920</td>\n",
       "      <td>37022</td>\n",
       "      <td>58</td>\n",
       "      <td>0.79</td>\n",
       "      <td>1</td>\n",
       "      <td>4380</td>\n",
       "      <td>1557</td>\n",
       "      <td>2823</td>\n",
       "      <td>12031</td>\n",
       "      <td>235</td>\n",
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       "    <tr>\n",
       "      <th>T002</th>\n",
       "      <td>30245122</td>\n",
       "      <td>26890</td>\n",
       "      <td>57</td>\n",
       "      <td>0.79</td>\n",
       "      <td>1</td>\n",
       "      <td>4520</td>\n",
       "      <td>1557</td>\n",
       "      <td>2963</td>\n",
       "      <td>10973</td>\n",
       "      <td>270</td>\n",
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       "      <th>T003</th>\n",
       "      <td>45788150</td>\n",
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       "      <td>57</td>\n",
       "      <td>0.85</td>\n",
       "      <td>2</td>\n",
       "      <td>4640</td>\n",
       "      <td>1549</td>\n",
       "      <td>3091</td>\n",
       "      <td>11612</td>\n",
       "      <td>266</td>\n",
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       "    <tr>\n",
       "      <th>T004</th>\n",
       "      <td>105370617</td>\n",
       "      <td>50908</td>\n",
       "      <td>72</td>\n",
       "      <td>0.78</td>\n",
       "      <td>3</td>\n",
       "      <td>5120</td>\n",
       "      <td>1620</td>\n",
       "      <td>3500</td>\n",
       "      <td>17338</td>\n",
       "      <td>202</td>\n",
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       "    <tr>\n",
       "      <th>T005</th>\n",
       "      <td>10352295</td>\n",
       "      <td>14824</td>\n",
       "      <td>62</td>\n",
       "      <td>0.85</td>\n",
       "      <td>1</td>\n",
       "      <td>4220</td>\n",
       "      <td>1561</td>\n",
       "      <td>2659</td>\n",
       "      <td>5731</td>\n",
       "      <td>464</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
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       "    <tr>\n",
       "      <th>T196</th>\n",
       "      <td>29774013</td>\n",
       "      <td>28883</td>\n",
       "      <td>88</td>\n",
       "      <td>0.82</td>\n",
       "      <td>0</td>\n",
       "      <td>2260</td>\n",
       "      <td>658</td>\n",
       "      <td>1602</td>\n",
       "      <td>10619</td>\n",
       "      <td>151</td>\n",
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       "    <tr>\n",
       "      <th>T197</th>\n",
       "      <td>35432134</td>\n",
       "      <td>27258</td>\n",
       "      <td>68</td>\n",
       "      <td>0.79</td>\n",
       "      <td>1</td>\n",
       "      <td>2293</td>\n",
       "      <td>658</td>\n",
       "      <td>1635</td>\n",
       "      <td>9994</td>\n",
       "      <td>164</td>\n",
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       "    <tr>\n",
       "      <th>T198</th>\n",
       "      <td>16602244</td>\n",
       "      <td>27193</td>\n",
       "      <td>68</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0</td>\n",
       "      <td>2180</td>\n",
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       "      <td>1522</td>\n",
       "      <td>10555</td>\n",
       "      <td>144</td>\n",
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       "      <th>T199</th>\n",
       "      <td>13953579</td>\n",
       "      <td>19401</td>\n",
       "      <td>72</td>\n",
       "      <td>0.78</td>\n",
       "      <td>3</td>\n",
       "      <td>2368</td>\n",
       "      <td>659</td>\n",
       "      <td>1709</td>\n",
       "      <td>6507</td>\n",
       "      <td>263</td>\n",
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       "    <tr>\n",
       "      <th>T200</th>\n",
       "      <td>13371995</td>\n",
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       "      <td>72</td>\n",
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       "      <td>1842</td>\n",
       "      <td>8051</td>\n",
       "      <td>229</td>\n",
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       "</table>\n",
       "<p>200 rows × 10 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "             面积     周长  暴雨    比降  断层    岩性  最大高程  最小高程   相对高差  主沟长度\n",
       "ID                                                                 \n",
       "T001   65924920  37022  58  0.79   1  4380  1557  2823  12031   235\n",
       "T002   30245122  26890  57  0.79   1  4520  1557  2963  10973   270\n",
       "T003   45788150  31986  57  0.85   2  4640  1549  3091  11612   266\n",
       "T004  105370617  50908  72  0.78   3  5120  1620  3500  17338   202\n",
       "T005   10352295  14824  62  0.85   1  4220  1561  2659   5731   464\n",
       "...         ...    ...  ..   ...  ..   ...   ...   ...    ...   ...\n",
       "T196   29774013  28883  88  0.82   0  2260   658  1602  10619   151\n",
       "T197   35432134  27258  68  0.79   1  2293   658  1635   9994   164\n",
       "T198   16602244  27193  68  0.80   0  2180   658  1522  10555   144\n",
       "T199   13953579  19401  72  0.78   3  2368   659  1709   6507   263\n",
       "T200   13371995  20438  72  0.84   3  2501   659  1842   8051   229\n",
       "\n",
       "[200 rows x 10 columns]"
      ]
     },
     "execution_count": 2,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "excel_file=\"D:\\Lenovo\\Desktop\\云南大学\\空间数据挖掘\\实验数据\\实验一数据.xlsx\"\n",
    "#读取数据，设置第一行为索引，第一列为索引\n",
    "df=pd.DataFrame(pd.read_excel(excel_file,engine=\"openpyxl\",sheet_name=0,index_col=0))\n",
    "df"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# 数据预处理与结构探索"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       "      <th>T001</th>\n",
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       "      <td>0.207967</td>\n",
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       "      <td>0.80</td>\n",
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       "      <td>0.483871</td>\n",
       "      <td>0.52</td>\n",
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       "      <td>0.342477</td>\n",
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       "      <td>0.017268</td>\n",
       "      <td>0.094453</td>\n",
       "      <td>0.161290</td>\n",
       "      <td>0.80</td>\n",
       "      <td>0.125</td>\n",
       "      <td>0.773300</td>\n",
       "      <td>0.938669</td>\n",
       "      <td>0.707340</td>\n",
       "      <td>0.097189</td>\n",
       "      <td>0.553867</td>\n",
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       "    <tr>\n",
       "      <th>...</th>\n",
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       "      <td>0.68</td>\n",
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       "      <td>0.060880</td>\n",
       "      <td>0.192510</td>\n",
       "      <td>0.354839</td>\n",
       "      <td>0.56</td>\n",
       "      <td>0.125</td>\n",
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       "      <td>0.187278</td>\n",
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       "      <th>T198</th>\n",
       "      <td>0.028136</td>\n",
       "      <td>0.191997</td>\n",
       "      <td>0.354839</td>\n",
       "      <td>0.60</td>\n",
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       "      <td>0.483871</td>\n",
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       "      <td>0.146217</td>\n",
       "      <td>0.229282</td>\n",
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      ],
      "text/plain": [
       "            面积        周长        暴雨    比降     断层        岩性      最大高程      最小高程  \\\n",
       "ID                                                                              \n",
       "T001  0.113904  0.269510  0.032258  0.56  0.125  0.813602  0.934511  0.759453   \n",
       "T002  0.051860  0.189608  0.000000  0.56  0.125  0.848866  0.934511  0.803940   \n",
       "T003  0.078888  0.229796  0.000000  0.80  0.250  0.879093  0.926195  0.844614   \n",
       "T004  0.182496  0.379018  0.483871  0.52  0.375  1.000000  1.000000  0.974579   \n",
       "T005  0.017268  0.094453  0.161290  0.80  0.125  0.773300  0.938669  0.707340   \n",
       "...        ...       ...       ...   ...    ...       ...       ...       ...   \n",
       "T196  0.051041  0.205325  1.000000  0.68  0.000  0.279597  0.000000  0.371465   \n",
       "T197  0.060880  0.192510  0.354839  0.56  0.125  0.287909  0.000000  0.381951   \n",
       "T198  0.028136  0.191997  0.354839  0.60  0.000  0.259446  0.000000  0.346044   \n",
       "T199  0.023530  0.130548  0.483871  0.52  0.375  0.306801  0.001040  0.405466   \n",
       "T200  0.022519  0.138726  0.483871  0.76  0.375  0.340302  0.001040  0.447728   \n",
       "\n",
       "          相对高差      主沟长度  \n",
       "ID                        \n",
       "T001  0.230325  0.237569  \n",
       "T002  0.207967  0.285912  \n",
       "T003  0.221471  0.280387  \n",
       "T004  0.342477  0.191989  \n",
       "T005  0.097189  0.553867  \n",
       "...        ...       ...  \n",
       "T196  0.200486  0.121547  \n",
       "T197  0.187278  0.139503  \n",
       "T198  0.199134  0.111878  \n",
       "T199  0.113588  0.276243  \n",
       "T200  0.146217  0.229282  \n",
       "\n",
       "[200 rows x 10 columns]"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 数据归一化\n",
    "df_normalized = df.apply(lambda x: (x - np.min(x)) / (np.max(x) - np.min(x)))\n",
    "df_normalized"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 1500x1000 with 2 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 计算皮尔逊相关系数\n",
    "df_corr = df_normalized.corr()\n",
    "fig, ax = plt.subplots(figsize=(15, 10))\n",
    "sns.heatmap(data=df_corr, annot=True, fmt='.2f', annot_kws={'size': 10}, cmap='Blues')\n",
    "\n",
    "# 设置颜色条\n",
    "cax = plt.gcf().axes[-1]\n",
    "cax.tick_params(labelsize=10)\n",
    "\n",
    "# 设置标题和坐标轴标签\n",
    "plt.title('皮尔逊相关系数矩阵', fontsize=18)\n",
    "plt.xticks(fontsize=12)\n",
    "plt.yticks(fontsize=12)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# PCA降维"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 3.36339217e-01 -5.30824376e-01  2.51574880e-01]\n",
      " [ 3.01245733e-01 -5.82149677e-01  2.54962351e-01]\n",
      " [ 2.96910067e-01 -5.80431244e-01  4.68210444e-01]\n",
      " [ 6.69082889e-01 -6.01993442e-01  8.38979580e-02]\n",
      " [-6.58116358e-02 -5.95835726e-01  2.52709270e-01]\n",
      " [ 2.00028768e-01 -5.89643209e-01  4.34346165e-01]\n",
      " [-2.19873131e-01 -4.88959681e-01  1.74888764e-01]\n",
      " [ 5.60288664e-01 -5.83210479e-01  2.65119549e-01]\n",
      " [-1.09795359e-01 -4.88756287e-01  4.44251426e-01]\n",
      " [ 9.01735079e-02 -4.95721370e-01  3.00229334e-01]\n",
      " [ 4.91907478e-01 -4.55961774e-01  2.35401342e-01]\n",
      " [ 3.02434764e-02 -4.03217314e-01  4.50554985e-02]\n",
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       "2    0.296910 -0.580431  0.468210\n",
       "3    0.669083 -0.601993  0.083898\n",
       "4   -0.065812 -0.595836  0.252709\n",
       "..        ...       ...       ...\n",
       "195 -0.033607  0.674076 -0.182718\n",
       "196  0.032759  0.593961  0.078850\n",
       "197 -0.024102  0.609398  0.086246\n",
       "198  0.002182  0.569351 -0.000160\n",
       "199 -0.016542  0.559994  0.197597\n",
       "\n",
       "[200 rows x 3 columns]"
      ]
     },
     "execution_count": 5,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pca = PCA(n_components=3)  \n",
    "data_pca = pca.fit_transform(df_normalized)     #把原数据传入方法，返回降维后的数据，等价于pca.fit(X) pca.transform(X)\n",
    "print(data_pca)\n",
    "print(pca.explained_variance_ratio_)    # 返回保留的n个成分各自的方差贡献比\n",
    "\n",
    "data_pca = pd.DataFrame(data_pca, columns=['PC1', 'PC2','PC3'])\n",
    "data_pca"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 将方差贡献比以折线图形式表示\n",
    "plt.plot(range(1, 4), pca.explained_variance_ratio_, marker='o')\n",
    "plt.xlabel('Principal Component')\n",
    "plt.ylabel('Variance Ratio')\n",
    "plt.title('方差贡献比')\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# k-means聚类\n",
    "## 确定聚类数"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 通过计算SSE绘制手肘图确定聚类数\n",
    "distortions = []  # 用来存放设置不同簇数时的SSE值\n",
    "for i in range(1,15):\n",
    "    kmModel = KMeans(n_clusters=i)\n",
    "    kmModel.fit(data_pca) #将降维后的数据传入聚类\n",
    "    distortions.append(kmModel.inertia_)  # 获取K-means算法的SSE\n",
    "# 绘制曲线\n",
    "plt.plot(range(1, 15), distortions, marker=\"o\")\n",
    "\n",
    "# 解决中文显示乱码的问题\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']\n",
    "plt.rcParams['axes.unicode_minus'] = False\n",
    "plt.xlabel(\"簇数量\")\n",
    "plt.ylabel(\"簇内误差平方和(SSE)\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# 通过轮廓系数法确定聚类数\n",
    "K = range(2, 15)\n",
    "# 构建空列表，用于存储个中簇数下的轮廓系数\n",
    "S = []\n",
    "for k in K:\n",
    "    kmeans = KMeans(n_clusters=k)\n",
    "    kmeans.fit(df_normalized)\n",
    "    labels = kmeans.labels_\n",
    "    # 调用模块metrics中的silhouette_score函数，计算轮廓系数\n",
    "    S.append(metrics.silhouette_score(df_normalized, labels, metric='euclidean'))\n",
    "\n",
    "\n",
    "# 绘制K的个数与轮廓系数的关系\n",
    "plt.plot(K, S, 'b*-')\n",
    "plt.xlabel('簇的个数')\n",
    "plt.ylabel('轮廓系数')\n",
    "# 显示图形\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## k-means聚类实施，聚5类最优"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1412: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
      "  super()._check_params_vs_input(X, default_n_init=10)\n",
      "c:\\ProgramData\\anaconda3\\envs\\myenv2\\lib\\site-packages\\sklearn\\cluster\\_kmeans.py:1436: UserWarning: KMeans is known to have a memory leak on Windows with MKL, when there are less chunks than available threads. You can avoid it by setting the environment variable OMP_NUM_THREADS=1.\n",
      "  warnings.warn(\n"
     ]
    }
   ],
   "source": [
    "# K-means聚类\n",
    "kms = KMeans(n_clusters=2, init='k-means++')\n",
    "data_fig = kms.fit(data_pca)  # 模型拟合\n",
    "centers = kms.cluster_centers_  # 计算聚类中心\n",
    "labs = kms.labels_  # 为数据打标签\n",
    "df_labels = DataFrame(kms.labels_)  # 将标签存放为DataFrame\n",
    "\n",
    "# 将聚类结果为 0,1,2,3,4 的数据筛选出来并打上标签\n",
    "df_A_0 = data_pca[kms.labels_ == 0]\n",
    "df_A_1 = data_pca[kms.labels_ == 1]\n",
    "# df_A_2 = data_pca[kms.labels_ == 2]\n",
    "# df_A_3 = data_pca[kms.labels_ == 3]\n",
    "# df_A_4 = data_pca[kms.labels_ == 4]\n",
    "\n",
    "df_A_0.insert(df_A_0.shape[1], '类别', 0)\n",
    "df_A_1.insert(df_A_1.shape[1], '类别', 1)\n",
    "# df_A_2.insert(df_A_2.shape[1], '类别', 2)\n",
    "# df_A_3.insert(df_A_3.shape[1], '类别', 3)\n",
    "# df_A_4.insert(df_A_4.shape[1], '类别', 4)\n",
    "df_labels_data1 = pd.concat([df_A_0, df_A_1])  # 数据融合\n",
    "\n",
    "\n",
    "# 将聚类结果与原始数据关联起来并输出excel\n",
    "df_labels_data2=pd.DataFrame(labs,index=df_normalized.index,columns=['类别'])\n",
    "df_labeled_data = pd.concat([df_normalized, df_labels_data2], axis=1)\n",
    "df_labeled_data.to_excel('D:\\Lenovo\\Desktop\\云南大学\\空间数据挖掘\\实验报告\\实验报告素材\\data_labeled2_二分类.xlsx')  # 输出归一化带标签的数据\n",
    "df_labels_data1.to_excel('D:\\Lenovo\\Desktop\\云南大学\\空间数据挖掘\\实验报告\\实验报告素材\\data_labeled1_二分类.xlsx')  # 输出PCA降维后带标签的数据"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 对聚类结果可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 800x1100 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>PC1</th>\n",
       "      <th>PC2</th>\n",
       "      <th>PC3</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0.336339</td>\n",
       "      <td>-0.530824</td>\n",
       "      <td>0.251575</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0.301246</td>\n",
       "      <td>-0.582150</td>\n",
       "      <td>0.254962</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>0.296910</td>\n",
       "      <td>-0.580431</td>\n",
       "      <td>0.468210</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0.669083</td>\n",
       "      <td>-0.601993</td>\n",
       "      <td>0.083898</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>-0.065812</td>\n",
       "      <td>-0.595836</td>\n",
       "      <td>0.252709</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>...</th>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "      <td>...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>195</th>\n",
       "      <td>-0.033607</td>\n",
       "      <td>0.674076</td>\n",
       "      <td>-0.182718</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>196</th>\n",
       "      <td>0.032759</td>\n",
       "      <td>0.593961</td>\n",
       "      <td>0.078850</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>197</th>\n",
       "      <td>-0.024102</td>\n",
       "      <td>0.609398</td>\n",
       "      <td>0.086246</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>198</th>\n",
       "      <td>0.002182</td>\n",
       "      <td>0.569351</td>\n",
       "      <td>-0.000160</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>199</th>\n",
       "      <td>-0.016542</td>\n",
       "      <td>0.559994</td>\n",
       "      <td>0.197597</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>200 rows × 3 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "          PC1       PC2       PC3\n",
       "0    0.336339 -0.530824  0.251575\n",
       "1    0.301246 -0.582150  0.254962\n",
       "2    0.296910 -0.580431  0.468210\n",
       "3    0.669083 -0.601993  0.083898\n",
       "4   -0.065812 -0.595836  0.252709\n",
       "..        ...       ...       ...\n",
       "195 -0.033607  0.674076 -0.182718\n",
       "196  0.032759  0.593961  0.078850\n",
       "197 -0.024102  0.609398  0.086246\n",
       "198  0.002182  0.569351 -0.000160\n",
       "199 -0.016542  0.559994  0.197597\n",
       "\n",
       "[200 rows x 3 columns]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "df_centers=pd.DataFrame(centers)\n",
    "\n",
    "# plt.figure(figsize=(8, 6))\n",
    "# plt.scatter(data_pca.values[:, 0], data_pca.values[:, 1],c=data_pca.values[:,2],s=3, cmap='Accent')\n",
    "# plt.scatter(df_centers.values[:, 0], df_centers.values[:, 1], marker='o', s=55, c='#8E00FF')\n",
    "# plt.show()\n",
    "\n",
    "\n",
    "\n",
    "fig = plt.figure(figsize=(8,11))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "# 绘制降维后的数据的散点图\n",
    "ax.scatter(data_pca.iloc[:, 0], data_pca.iloc[:, 1], data_pca.iloc[:, 2], c=labs, cmap='viridis', label='Data Points')\n",
    "\n",
    "# 绘制聚类中心\n",
    "ax.scatter(df_centers.iloc[:, 0], df_centers.iloc[:, 1], df_centers.iloc[:, 2], c='red',marker='x', s=100, label='Cluster Centers')\n",
    "\n",
    "ax.set_xlabel('PC1')\n",
    "ax.set_ylabel('PC2')\n",
    "ax.set_zlabel('PC3')\n",
    "ax.set_title('K-means Clustering with PCA')\n",
    "ax.view_init(elev=20, azim=45)\n",
    "\n",
    "plt.legend()\n",
    "plt.show()\n",
    "data_pca"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 使用DBSCAN法进行聚类并可视化"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 700x1100 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "array([-1, -1, -1, -1, -1, -1,  1, -1, -1, -1, -1,  1, -1, -1, -1,  0, -1,\n",
       "       -1,  0, -1,  0,  1, -1,  1,  1,  0,  0,  1,  1,  1,  1,  1,  1,  1,\n",
       "        1,  1, -1,  1,  1,  1,  1,  1,  1,  1,  1, -1,  1,  1,  1,  1,  1,\n",
       "        1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1,  1, -1,  1,  1,\n",
       "        1, -1,  1,  1,  1,  1,  1, -1,  1,  1,  1,  1,  1,  1,  1,  1, -1,\n",
       "        1,  1,  1, -1,  1,  1,  1,  1,  1, -1,  1,  1,  1,  1,  1,  1, -1,\n",
       "       -1,  1,  1,  1, -1,  1,  1,  3, -1,  1,  1,  1,  1,  1,  1,  1,  1,\n",
       "        2, -1, -1,  1,  1,  2,  3,  1, -1, -1,  1,  3,  3,  1, -1,  3, -1,\n",
       "        2, -1,  1, -1, -1, -1,  1,  3,  3,  1, -1, -1,  1,  1, -1, -1, -1,\n",
       "        1,  1,  1,  1,  1,  6,  4,  1,  5,  5,  4,  4,  4,  1,  4,  4,  1,\n",
       "        5,  1,  6, -1, -1,  6,  1,  1,  6,  1,  4,  1,  5, -1,  5, -1,  1,\n",
       "        6,  5, -1,  4,  5, -1,  6, -1, -1,  6,  6,  6,  6], dtype=int64)"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# 使用 DBSCAN 进行聚类\n",
    "dbscan = DBSCAN(eps=0.16, min_samples=5)\n",
    "dbscan.fit(data_pca)\n",
    "labels_dbscan = dbscan.labels_\n",
    "\n",
    "# 可视化分析\n",
    "fig = plt.figure(figsize=(7, 11))\n",
    "ax = fig.add_subplot(111, projection='3d')\n",
    "\n",
    "# 绘制降维后的数据的散点图\n",
    "ax.scatter(data_pca.iloc[:, 0], data_pca.iloc[:, 1], data_pca.iloc[:, 2], c=labels_dbscan, cmap='rainbow', label='Data Points')\n",
    "\n",
    "ax.set_xlabel('PC1')\n",
    "ax.set_ylabel('PC2')\n",
    "ax.set_zlabel('PC3')\n",
    "ax.set_title('DBSCAN Clustering with PCA')\n",
    "\n",
    "plt.legend()\n",
    "plt.show()\n",
    "labels_dbscan"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "myenv2",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.9.18"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}
